Project Role : Responsible AI Tech Lead
Project Role Description : Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.
Must have skills : Generative AI
Good to have skills : Python (Programming Language), Microservices and Light Weight Architecture, Microsoft Azure DevOps
Minimum
5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are seeking an experienced AI Refinery Developer with strong expertise in AI, Generative AI, and RAG-based systems. The role involves maintaining and enhancing an existing AI application built on AI Refinery (AIR), developed using FastAPI, and integrated within NVIDIA Omniverse, a 3D simulation and content creation platform.
Roles & Responsibilities:
- Maintain, enhance, and optimize the existing AI application/service built on AI Refinery (AIR).
- Manage and improve AI chat functionalities that respond based on the contextual data from 3D environments/scenes.
- Handle orchestrator-based tool services for manipulating and controlling 3D scene objects.
- Develop and maintain RAG (Retrieval-Augmented Generation) based answering services for queries related to historical project deliveries.
- Understand, integrate, and maintain various AIR services and workflows used across the application.
- Collaborate with cross-functional teams to support feature enhancements and ensure system stability.
Professional & Technical Skills:
Must-Have Skills
- Strong proficiency in Python and FastAPI for backend development.
- Hands-on experience with AI Refinery (AIR), LangChain, or similar LLM orchestration frameworks.
- Experience working with databases such as SQL, NoSQL, and VectorDB.
- Solid understanding of RAG workflows, LLM integrations, and context-based AI applications.
- Experience in integrating AI/ML models into production environments.
- Familiarity with document analysis, LLM-based chat systems, and data processing workflows.
Good to Have Skills
- Experience with cloud infrastructure (Azure/AWS/GCP) and DevOps practices.
- Exposure to NVIDIA Omniverse, 3D tools, or simulation-based environments.
- Understanding of microservices, containerization (Docker), and CI/CD pipelines.
Additional Information:
- Primary Skill (Accenture Standard): AI
- Secondary Skills (recommended): Generative AI, Python, FastAPI, RAG, Vector Databases, LangChain, AI Refinery
- Work involves close collaboration with AI, backend, and 3D pipeline teams.
- Experience in NVIDIA ecosystem is a strong advantage.
- Suitable for candidates interested in advanced AI workflows, 3D scene understanding, and enterprise AI solutions.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
